Real-time AI copilot that listens to your call and tells you what to say next
Stage
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Founded
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Based in
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Pricing model
Freemium
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Pricing
Serverless inference with per-token pricing (pay for output, input, and cached tokens). Training pricing from $0.50 to $10.00 per 1M training tokens depending on model size and fine-tuning type. On-demand deployments at $0.134 to $0.334 per minute ($8 to $20 per hour) for various GPU types.
Free: one 5-minute live session, no card required. Sayble Pro: $39.99/month (or $24.99/month for first 12 months with founder code). Sayble Teams: custom pricing.
Key features
Guided training runs
Configuration-led training
Custom training logic
Serverless inference
On-demand dedicated deployments
Reserved capacity
OpenAI compatible API
Model library with latest open models
Reinforcement learning support
Multi-region deployments
One line to say next plus a backup during a live call
Live transcription of both sides, labelled by speaker
Recap and follow-up email drafted from the transcript when the call ends
Plain-language questions across your past calls
Custom modes with your own reference files (pitch decks, pricing sheets, playbooks, PDFs, CSVs)
Works on Zoom, Google Meet, Microsoft Teams, Slack huddles and phone calls
10 languages, auto-detected
Built to stay off screen shares
Available on Mac and Windows
What makes it different
Drop-in replacement for closed-model APIs with cost savings of 50-75%
Instant production deployment from any training checkpoint in seconds
Optimized inference engine for industry-leading throughput and latency
Elastic and global RL inference scaling
Own the complete learning loop for specialized intelligence
Suggests the exact words to say next in real time during the call
Automatically writes recap and follow-up email before you hang up
Query all your past conversations in plain language to find patterns
Built by operators who close calls, not by committee
Sayble